Interference cancellation through interference alignment for downlink of cognitive cellular networks

Moussa, May; Foukalas, Fotis; Khattab, Tamer

doi:10.1049/el.2014.2656

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…The IC technique was initially used in refs. [124,125] that zero forces the intra-cell interference in the primary cell with the aid of the cognitive base station. The interference caused by the primary base station on the SUs are also cancelled using dirty paper coding (DPC), which provides outer bounds on the achievable DoF as well as showing that the achieved sum DoF is strictly larger than the case when cognitive message sharing is unavailable.…”

Section: Interference Cancellationmentioning

confidence: 99%

“…A similar strategy was then used in ref. [125] for the case of downlink of cellular networks to achieve outer bounds on the DoF through IA. IA helps the PUs and SUs using SWF to enable efficient utilisation of the available DoF, by cancelling intra-cell interference within the PU link with pre-coding matrices and zero-forcing the intra-cell interference within the SUs.…”

Section: Interference Cancellationmentioning

confidence: 99%

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Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

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Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.

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Section: Interference Cancellationmentioning

confidence: 99%

Section: Interference Cancellationmentioning

confidence: 99%

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

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“…The contribution of the proposed scheme is applying the WF technique to the scheduling for an SC‐FDMA based cellular system, while previous studies focus on applying the WF technique into the optimization of the transmit power . Because the scheduling should take into account both UEs transmit power and the channel status, the proposed scheme is using the WF technique twice: SCH allocation and data rate adjustment phases.…”

Section: Introductionmentioning

confidence: 99%

Water‐filling technique‐based proportionally fair scheduling algorithm for SC‐FDMA

Lee

Chung

2016

Trans. Emerging Tel. Tech.

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Single carrier frequency division multiple access (SC‐FDMA) regulates that subchannels allocated to a user should be contiguous in frequency domain (i.e., contiguity constraint). Due to the constraint, the proportionally fair (PF) scheduling in SC‐FDMA is known to be non‐deterministic polynomial‐time (NP) hard. In this paper, a novel PF scheduling algorithm is proposed based on the water‐filling (WF) technique to effectively solve PF scheduling in SC‐FDMA. The proposed algorithm is composed of 2 phases: subchannel allocation and data rate adjustment phases. In the subchannel allocation phase, user's power is allocated to frequency‐contiguous subchannels for maximizing users' data rates based on the WF technique. In the data rate adjustment phase, the modulation and coding scheme of user is decided by solving the PF scheduling problem with the WF technique. Through simulations, it is shown that the proposed scheme achieves total data rates and logarithmic sum of average user data rates close to those of the optimal PF scheduling. In addition, the proposed scheme performs better than coherence subband based resource allocation scheme.

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“…Introduction: Interference alignment (IA) is a promising technique to increase the degrees of freedom by achieving interference-free signalling dimensions in multi-input multiple-output (MIMO) systems [1,2]. In this Letter, we investigate the fast computation of IA solutions in a K-user MIMO interference channel (MIMO IC) [3][4][5].…”

mentioning

confidence: 99%

Near‐optimal practical convergent method for interference alignment in MIMO interference channels

Zhu¹,

Yang²

2016

Electron. lett.

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A practical distributed Gauss-Newton method for the near-optimal computation of interference alignment solutions is proposed, based on the block-wise structure of Jacobian matrix of the residual interference function. Also, a simple practical matrix inverse computation algorithm to solve the rank-deficient problem due to the interference sparse matrix is adopted. This proposal achieves convergent performance comparable to centralised Gauss-Newton method, with the major advantage of being practically implemented in a distributed manner.

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Interference cancellation through interference alignment for downlink of cognitive cellular networks

Cited by 6 publications

References 10 publications

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Water‐filling technique‐based proportionally fair scheduling algorithm for SC‐FDMA

Near‐optimal practical convergent method for interference alignment in MIMO interference channels

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